Systematic Literature Review: Kebijakan Dan Tanggungjawab Pemerintah Daerah dalam Mitigasi Banjir
DOI:
https://doi.org/10.61104/alz.v3i3.1368Abstract
Penelitian ini bertujuan untuk mengkaji secara sistematis kecenderungan dan pola dalam literatur akademik terkait kebijakan dan tanggung jawab pemerintah daerah dalam mitigasi banjir. Pendekatan yang digunakan adalah Systematic Literature Review (SLR) dengan analisis bibliometrik berbantuan perangkat lunak VOSviewer. Data diperoleh dari database Scopus dengan kriteria inklusi seperti publikasi tahun 2018–2024, relevansi topik, dan kelengkapan naskah. Dari proses seleksi, diperoleh 92 artikel yang dianalisis. Hasil penelitian menunjukkan bahwa topik efektivitas kebijakan, efisiensi, pembangunan regional, dan koordinasi kelembagaan merupakan tema dominan. Secara geografis, Tiongkok menjadi negara dengan kontribusi publikasi tertinggi, diikuti oleh Inggris dan Amerika Serikat, sedangkan Indonesia juga menunjukkan partisipasi yang cukup signifikan. Visualisasi jaringan, overlay, dan kepadatan kata kunci menunjukkan adanya kecenderungan multidisipliner dan pergeseran isu menuju tema digitalisasi dan desentralisasi dalam kebijakan mitigasi banjir. Temuan ini diharapkan dapat memperkuat landasan empiris dalam penyusunan kebijakan publik yang responsif terhadap tantangan perubahan iklim dan urbanisasi
References
Abramson, D. B. (2020). Ancient and current resilience in the Chengdu Plain: Agropolitan development re-‘revisited.’ Urban Studies, 57(7), 1372–1397. https://doi.org/10.1177/0042098019843020
Ahmed, N., Hamid, Z., Rehman, K. U., Senkus, P., Khan, N. A., Wysokińska-Senkus, A., & Hadryjańska, B. (2023). Environmental Regulation, Fiscal Decentralization, and Agricultural Carbon Intensity: A Challenge to Ecological Sustainability Policies in the United States. Sustainability (Switzerland), 15(6). https://doi.org/10.3390/su15065145
Batterbury, S. P. J., Kowasch, M., & Bouard, S. (2020). The geopolitical ecology of New Caledonia: Territorial re-ordering, mining, and Indigenous economic development. Journal of Political Ecology, 27(1), 594–611. https://doi.org/10.2458/V27I1.23812
Binder, C. R., Knoeri, C., & Hecher, M. (2016). Modeling transition paths towards decentralized regional energy autonomy: the role of legislation, technology adoption, and resource availability. Raumforschung Und Raumordnung, 74(3), 273–284. https://doi.org/10.1007/s13147-016-0396-5
Gorbuntsova, T., Dobson, S., & Palmer, N. (2019). Diverse geographies of power and spatial production: Tourism industry development in the Yamal Peninsula, Northern Siberia. Annals of Tourism Research, 76, 67–79. https://doi.org/10.1016/j.annals.2019.03.006
Handayani, I. G. A. K. R., & Karjoko, L. (2020). The spatial planning to implement sustainable agricultural land. International Journal of Advanced Science and Technology, 29(3 Special Issue), 1307–1311. https://www.scopus.com/inward/record.uri?eid=2-s2.0 85082011496&partnerID=40&md5=c8550e4282ab20ad3a28bebd83f27c60
Khan, S. U., Cui, Y., Khan, A. A., Ali, M. A. S., Khan, A., Xia, X., Liu, G., & Zhao, M. (2021). Tracking sustainable development efficiency with human-environmental system relationship: An application of DPSIR and super efficiency SBM model. Science of the Total Environment, 783. https://doi.org/10.1016/j.scitotenv.2021.146959
Mulska, O., Storonyanska, I., Patytska, K., Ivaniuk, U., & Voznyak, H. (2023). Economic growth of Ukrainian regions and determinants of financial resilience: Modeling the causal nexus. Problems and Perspectives in Management, 21(4), 398–414. https://doi.org/10.21511/ppm.21(4).2023.31
Phirtskhalaishvili, T., Bayer, F., Edet, S., Bongiovanni, I., Hogan, J., & Couchoud, C. (2016). Spatial analysis of case-mix and dialysis modality associations. Peritoneal Dialysis International, 36(3), 326–333. https://doi.org/10.3747/pdi.2015.00003
Qian, Z. (2024). Spatial planning of China’s lower-tier cities: strategies, implementation, and consequences. International Planning Studies, 29(2), 140–159. https://doi.org/10.1080/13563475.2024.2311145
Singh, R., Bhattacharjee, S., & Nandy, A. (2025). Does regional decentralisation preserve the spirit of federal polity in India? Regional Studies, 59(1). https://doi.org/10.1080/00343404.2024.2441222
Vanschoonbeek, J. (2020). Regional (in)stability in Europe a quantitative model of state fragmentation. Journal of Comparative Economics, 48(3), 605–641. https://doi.org/10.1016/j.jce.2020.01.001
Zhang, C., Nie, F., Xiang, S., & Hou, C. (2009). Soft constraint harmonic energy minimization for transductive learning and its two interpretations. Neural Processing Letters, 30(2), 89–102. https://doi.org/10.1007/s11063-009-9110-8
ZZhang, Z., Xiao, Q., & Luo, J. (2023). Infant death prediction using machine learning: A population-based retrospective study. Computers in Biology and Medicine, 165. https://doi.org/10.1016/j.compbiomed.2023.107423
hang, Z., Xiao, Q., & Luo, J. (2023). Infant death prediction using machine learning: A population-based retrospective study. Computers in Biology and Medicine, 165. https://doi.org/10.1016/j.compbiomed.2023.107423
Abramson, D. B. (2020). Ancient and current resilience in the Chengdu Plain: Agropolitan development re-‘revisited.’ Urban Studies, 57(7), 1372–1397. https://doi.org/10.1177/0042098019843020
Ahmed, N., Hamid, Z., Rehman, K. U., Senkus, P., Khan, N. A., Wysokińska-Senkus, A., & Hadryjańska, B. (2023). Environmental Regulation, Fiscal Decentralization, and Agricultural Carbon Intensity: A Challenge to Ecological Sustainability Policies in the United States. Sustainability (Switzerland), 15(6). https://doi.org/10.3390/su15065145
Batterbury, S. P. J., Kowasch, M., & Bouard, S. (2020). The geopolitical ecology of New Caledonia: Territorial re-ordering, mining, and Indigenous economic development. Journal of Political Ecology, 27(1), 594–611. https://doi.org/10.2458/V27I1.23812
Binder, C. R., Knoeri, C., & Hecher, M. (2016). Modeling transition paths towards decentralized regional energy autonomy: the role of legislation, technology adoption, and resource availability. Raumforschung Und Raumordnung, 74(3), 273–284. https://doi.org/10.1007/s13147-016-0396-5
Gorbuntsova, T., Dobson, S., & Palmer, N. (2019). Diverse geographies of power and spatial production: Tourism industry development in the Yamal Peninsula, Northern Siberia. Annals of Tourism Research, 76, 67–79. https://doi.org/10.1016/j.annals.2019.03.006
Handayani, I. G. A. K. R., & Karjoko, L. (2020). The spatial planning to implement sustainable agricultural land. International Journal of Advanced Science and Technology, 29(3 Special Issue), 1307–1311. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082011496&partnerID=40&md5=c8550e4282ab20ad3a28bebd83f27c60
Khan, S. U., Cui, Y., Khan, A. A., Ali, M. A. S., Khan, A., Xia, X., Liu, G., & Zhao, M. (2021). Tracking sustainable development efficiency with human-environmental system relationship: An application of DPSIR and super efficiency SBM model. Science of the Total Environment, 783. https://doi.org/10.1016/j.scitotenv.2021.146959
Mulska, O., Storonyanska, I., Patytska, K., Ivaniuk, U., & Voznyak, H. (2023). Economic growth of Ukrainian regions and determinants of financial resilience: Modeling the causal nexus. Problems and Perspectives in Management, 21(4), 398–414. https://doi.org/10.21511/ppm.21(4).2023.31
Phirtskhalaishvili, T., Bayer, F., Edet, S., Bongiovanni, I., Hogan, J., & Couchoud, C. (2016). Spatial analysis of case-mix and dialysis modality associations. Peritoneal Dialysis International, 36(3), 326–333. https://doi.org/10.3747/pdi.2015.00003
Qian, Z. (2024). Spatial planning of China’s lower-tier cities: strategies, implementation, and consequences. International Planning Studies, 29(2), 140–159. https://doi.org/10.1080/13563475.2024.2311145
Singh, R., Bhattacharjee, S., & Nandy, A. (2025). Does regional decentralisation preserve the spirit of federal polity in India? Regional Studies, 59(1). https://doi.org/10.1080/00343404.2024.2441222
Vanschoonbeek, J. (2020). Regional (in)stability in Europe a quantitative model of state fragmentation. Journal of Comparative Economics, 48(3), 605–641. https://doi.org/10.1016/j.jce.2020.01.001
Zhang, C., Nie, F., Xiang, S., & Hou, C. (2009). Soft constraint harmonic energy minimization for transductive learning and its two interpretations. Neural Processing Letters, 30(2), 89–102. https://doi.org/10.1007/s11063-009-9110-8
ZZhang, Z., Xiao, Q., & Luo, J. (2023). Infant death prediction using machine learning: A population-based retrospective study. Computers in Biology and Medicine, 165. https://doi.org/10.1016/j.compbiomed.2023.107423
Hang, Z., Xiao, Q., & Luo, J. (2023). Infant death prediction using machine learning: A population-based retrospective study. Computers in Biology and Medicine, 165. https://doi.org/10.1016/j.compbiomed.2023.107423
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